“If you want to learn something, read about it. If you want to understand something, write about it. If you want to master something, teach it.” This quote simply illustrates the main inspiration for this tutorial. Also what inspired me to write this tutorial is the thought of helping people learn more about the technologies used and know how to implement them.

What it does

This tutorial shows how to create a Facebook Messenger chatbot that uses to understand users. As it helps them encrypt and share their messages with other people without being afraid of revealing its content. Then they can decrypt the message again using the private key shared with them previously.

How we built it

We built the web application using FastAPI (a high-performance framework, easy to learn, fast to code, ready for production) for the backend. Then we added Natural Language Processing using to understand user intents. And we used Messenger to host our chatbot. And Fernet, a system for symmetric encryption/decryption. And finally, we integrated all of them into the web application and deployed it using ngrok

Challenges we ran into

One of the challenges that we ran into was that we needed a way to handle the conversation flow and have a context to determine the next steps in the flow.

Accomplishments that we're proud of

We're proud that we wrote our first tutorial as it wasn't an easy task because of all the research that was done to make sure that the written information was accurate and up to date.

What we learned

We learned how to write a proper tutorial that keeps the user interested until the end.

What's next

The next steps are to use more features in, like using the speech API to understand the voice messages. Also, we want to add more features to the Messenger chatbot, like adding a share button for the encrypted message and the key

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